Results 61 to 70 of about 24,069 (274)
Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source
Research on Map-SLAM Fusion Localization Algorithm for Unmanned Vehicle
Applied Sciences, 2022 Vision-based localization techniques and detection technologies are key algorithms for the localization and navigation of unmanned vehicles. Especially in scenarios where GPS signals are missing, Simultaneous Localization and Mapping (SLAM) techniques ...
Shuguang Li +5 more
doaj +1 more source
Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping Through Continual Learning
, 2023 Robots operating in the open world encounter various different environments that can substantially differ from each other. This domain gap also poses a challenge for Simultaneous Localization and Mapping (SLAM) being one of the fundamental tasks for navigation.
Vödisch, Niclas +3 more
openaire +2 more sources
Advanced Intelligent Systems, EarlyView.This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang +4 more
wiley +1 more source
Towards Informative Path Planning for Acoustic SLAM [PDF]
, 2016 Acoustic scene mapping is a challenging task as microphone arrays can often localize sound sources only in terms of their directions. Spatial diversity can be exploited constructively to infer source-sensor range when using microphone arrays installed on
Evers, C, Moore, A, Naylor, P
core
D-SLAM: A decoupled solution to simultaneous localization and mapping [PDF]
, 2007 The main contribution of this paper is the reformulation of the simultaneous localization and mapping (SLAM) problem for mobile robots such that the mapping and localization can be treated as two concurrent yet separated processes: D-SLAM (decoupled SLAM)
Dissanayake, G, Huang, S, Wang, Z
core +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a tip‐growing eversion robot that uses phase‐changing alloys for reversible stiffening and localized actuation, achieving 43× stiffness modulation, 15× force amplification, and segmental steering. The system enables precise navigation and force delivery in constrained, tortuous pathways.
Shamsa Al Harthy +4 more
wiley +1 more source
A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR
Remote Sensing, 2022 The ability of intelligent unmanned platforms to achieve autonomous navigation and positioning in a large-scale environment has become increasingly demanding, in which LIDAR-based Simultaneous Localization and Mapping (SLAM) is the mainstream of research
Xiaobin Xu +7 more
doaj +1 more source
D-SLAM: Decoupled localization and mapping for autonomous robots [PDF]
, 2007 The main contribution of this paper is the reformulation of the simultaneous localization and mapping (SLAM) problem for mobile robots such that the mapping and localization can be treated as two concurrent yet separated processes: D-SLAM (decoupled SLAM)
Dissanayake, G, Huang, S, Wang, Z
core